Open Source Kitsu, AniList, and MyAnimeList Scrobbler for macOS

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

App to transfer your spotify playlists to Google Play Music

Create Anime Characters with MakeGirlsMoe

This recipe is dedicated to helping you make the best possible pizza dough for Neapolitan pizza.

sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)

Turi Create simplifies the development of custom machine learning models.

patchouli-chan: mal scrobbler/autosync for manga

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

Generative Adversarial Label to Image Synthesis

A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

A curated list of awesome Hacking tutorials, tools and resources

Oxford Deep NLP 2017 course

An iOS library to natively render After Effects vector animations

Reproducing images with geometric primitives.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Semantic JPEG image compression using deep convolutional neural network (CNN)

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

Fully Convolutional Instance-aware Semantic Segmentation

A customisable 3D platform for agent-based AI research

A starter agent that can solve a number of universe environments.

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

Learning to Learn in TensorFlow

⏰ AI conference deadline countdowns

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Run Keras models in the browser, with GPU support using WebGL